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dc.contributor.authorDal Poz, Aluir Porfirio [UNESP]
dc.identifier.citationJoint Urban Remote Sensing Event 2013, JURSE 2013, p. 29-32.
dc.description.abstractIn this paper a photogrammetric method is proposed for refining 3D building roof contours extracted from airborne laser scanning data. It is assumed that laser-derived planar faces of roofs are potentially accurate, while laser-derived building roof contours are not well defined. First, polygons representing building roof contours are extracted from a high-resolution aerial image. In the sequence, straight-line segments delimitating each building roof polygon are projected onto the corresponding laser-derived roof planes by using a new line-based photogrammetric model. Finally, refined 3D building roof contours are reconstructed by connecting every pair of photogrammetrically- projected adjacent straight lines. The obtained results showed that the proposed approach worked properly, meaning that the integration of image data and laser scanning data allows better results to be obtained, when compared to the results generated by using only laser scanning data. © 2013 IEEE.en
dc.relation.ispartofJoint Urban Remote Sensing Event 2013, JURSE 2013
dc.subject3d buildings
dc.subjectAirborne Laser scanning
dc.subjectBuilding roof
dc.subjectHigh-resolution aerial images
dc.subjectIntegration of images
dc.subjectLaser scanning data
dc.subjectStraight-line segments
dc.subjectLaser applications
dc.subjectRemote sensing
dc.subjectThree dimensional
dc.titlePhotogrammetric refinement of laser-based building roof contoursen
dc.typeTrabalho apresentado em evento
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.description.affiliationDepartment of Cartography São Paulo State University Presidente, Prudente
dc.description.affiliationUnespDepartment of Cartography São Paulo State University Presidente, Prudente
dc.rights.accessRightsAcesso aberto
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Ciências e Tecnologia, Presidente Prudentept[1][1]
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